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Gemini 2.5 Pro vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 50.7% higher average benchmark score. Gemini 2.5 Pro supports multimodal inputs. Gemini 2.5 Pro is available on 2 providers. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
21 days newer
Gemini 2.5 Pro
2025-05-20
Magistral Small 2506
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Gemini 2.5 Pro
Average Score:65.5%(+50.7%)
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Magistral Small 2506
Average Score:14.9%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro
2025-01-31
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro
Avg Score:65.5%(+50.7%)
Providers:2
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Magistral Small 2506
Avg Score:14.9%
Providers:0